Zobrazeno 1 - 10
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pro vyhledávání: '"HU Shu"'
Autor:
Chenglin Wang1, Jiguo Gao1, Beilin Zhang1, Rensheng Zhang1, Chao Wang1, Xinyuan Li1, Heqian Du1, Chunkui Zhou1 fang20063536@sina.com, Shaokuan Fang1 zhouchunkui@163.com
Publikováno v:
Neurology Asia. Sep2019, Vol. 24 Issue 3, p215-227. 13p.
Autor:
Kexin Wang, Kai Li, Yupeng Chen, Genxia Wei, Hailang Yu, Yi Li, Wei Meng, Handuo Wang, Li Gao, Aiping Lu, Junxiang Peng, Daogang Guan
Publikováno v:
Frontiers in Pharmacology, Vol 12 (2021)
Traditional Chinese medicine (TCM) usually plays therapeutic roles on complex diseases in the form of formulas. However, the multicomponent and multitarget characteristics of formulas bring great challenges to the mechanism analysis and secondary dev
Externí odkaz:
https://doaj.org/article/ffab36f730c04b30ad89a90d9c434f4c
Akademický článek
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Publikováno v:
BMC Complementary and Alternative Medicine, Vol 18, Iss 1, Pp 1-13 (2018)
Abstract Background Depression is a common mental disorder. Chai Hu Shu Gan San, a traditional Chinese medicine, is used to treat depression empirically. We present a systematic review and meta-analysis of the therapeutic efficacy and safety of Chai
Externí odkaz:
https://doaj.org/article/de9ce74f1f7a477d8aeeb37fcf173772
Autor:
Hu, Shu, Chen, George H.
We propose a general approach for encouraging fairness in survival analysis models based on minimizing a worst-case error across all subpopulations that occur with at least a user-specified probability. This approach can be used to convert many exist
Externí odkaz:
http://arxiv.org/abs/2409.10538
The CNN has achieved excellent results in the automatic classification of medical images. In this study, we propose a novel deep residual 3D attention non-local network (NL-RAN) to classify CT images included COVID-19, common pneumonia, and normal to
Externí odkaz:
http://arxiv.org/abs/2408.04300
Medical Image Foundation Models have proven to be powerful tools for mask prediction across various datasets. However, accurately assessing the uncertainty of their predictions remains a significant challenge. To address this, we propose a new model,
Externí odkaz:
http://arxiv.org/abs/2408.08881
Vehicle weaving on highways contributes to traffic congestion, raises safety issues, and underscores the need for sophisticated traffic management systems. Current tools are inadequate in offering precise and comprehensive data on lane-specific weavi
Externí odkaz:
http://arxiv.org/abs/2407.04688
Current medical image classification efforts mainly aim for higher average performance, often neglecting the balance between different classes. This can lead to significant differences in recognition accuracy between classes and obvious recognition w
Externí odkaz:
http://arxiv.org/abs/2406.17338
AI-generated faces have enriched human life, such as entertainment, education, and art. However, they also pose misuse risks. Therefore, detecting AI-generated faces becomes crucial, yet current detectors show biased performance across different demo
Externí odkaz:
http://arxiv.org/abs/2406.00783